VetsEZ

Software Product Engineer

VetsEZ

full-time

Posted on:

Location Type: Remote

Location: Remote • North Carolina, Pennsylvania • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSCloudJavaScriptMicroservicesNode.jsPythonTypeScript

About the role

  • Implement AI-enabled backend services within a secure, cloud-native microservices environment.
  • Design and scale Intelligent Document Processing (IDP) pipelines to extract and validate data from claims, authorizations, and medical documentation.
  • Integrate LLMs and intelligent agents into clinical and claims workflows to streamline patient and provider interactions.
  • Build AI Agents that surface actionable insights from EHR, claims, and unstructured clinical data.
  • Translate ML outputs into decision-ready intelligence for providers, payers, and operations leaders.
  • Support cross-functional architecture sessions, code reviews, and design workshops.
  • Engineer modern AI/ML development practices, scalable system design, and secure operations.
  • Work with clinicians, operations staff, and compliance leaders to ensure solutions align with healthcare standards and patient impact goals.
  • Drive continuous improvement by identifying opportunities to enhance system performance, scalability, and maintainability.
  • Design scalable APIs and data models that support secure, interoperable data exchange across care coordination and claims systems.
  • Translate business and clinical requirements into technical designs that are intuitive for end-users and sustainable for engineering teams.
  • Create design documentation and technical blueprints that guide implementation and ensure alignment with enterprise healthcare standards.

Requirements

  • Bachelor’s degree in computer science, Software Engineering, or a related technical field.
  • Experience in using and designing with Agent-2-Agent (A2A) and Model Context Protocols (MCP).
  • Strong communications skills with ability to drive product vision and mission to completion.
  • Strong coding ability in Python, TypeScript, and Node.js, with a solid understanding of cloud-native microservices and event-driven architectures.
  • Strong understanding and experience in using AWS cloud native services and tools.
  • Hands-on experience applying LLMs, NLP, or Intelligent Document Processing (IDP) in production environments, using platforms such as OpenAI, Bedrock, Cohere, or Claude.
  • Knowledge of healthcare interoperability standards (FHIR, HL7, X12) and data governance in regulated environments; prior experience with claims adjudication, care coordination, or patient engagement systems is highly desirable.
  • Familiarity with AI-driven developer tools such as GitHub Copilot and Cursor.
  • Proven ability to collaborate effectively with both technical teams and healthcare stakeholders to deliver impactful solutions.
  • Ability to obtain a government clearance
Benefits
  • Medical/Dental/Vision
  • 401k with Employer Match
  • PTO + Federal Holidays
  • Corporate Laptop
  • Training opportunities
  • Remote Opportunity

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonTypeScriptNode.jsAI/ML development practicesIntelligent Document Processing (IDP)cloud-native microservicesevent-driven architecturesAPI designdata modelingLLMs
Soft skills
strong communication skillscollaborationproduct visioncontinuous improvementcross-functional teamworktechnical design translationstakeholder engagementproblem-solvingleadershiporganizational skills
Certifications
Bachelor’s degree in computer scienceBachelor’s degree in Software Engineeringgovernment clearance